Academic Journal

Genetic toxicology in silico protocol.

التفاصيل البيبلوغرافية
العنوان: Genetic toxicology in silico protocol.
المؤلفون: Hasselgren, Catrin, Ahlberg, Ernst, Akahori, Yumi, Amberg, Alexander, Anger, Lennart, Atienzar, Franck, Auerbach, Scott, Beilke, Lisa, Bellion, Phillip, Benigni, Romualdo, Bercu, Joel, Booth, Ewan, Bower, Dave, Brigo, Alessandro, Cammerer, Zoryana, Cronin, Mark, Crooks, Ian, Cross, Kevin, Custer, Laura, Dobo, Krista, Doktorova, Tatyana, Faulkner, David, Ford, Kevin, Fortin, Marie, Frericks, Markus, Gad-McDonald, Samantha, Gellatly, Nichola, Gerets, Helga, Gervais, Véronique, Glowienke, Susanne, Van Gompel, Jacky, Harvey, James, Hillegass, Jedd, Honma, Masamitsu, Hsieh, Jui-Hua, Hsu, Chia-Wen, Barton-Maclaren, Tara, Johnson, Candice, Jolly, Robert, Jones, David, Kemper, Ray, Kenyon, Michelle, Kruhlak, Naomi, Kulkarni, Sunil, Kümmerer, Klaus, Leavitt, Penny, Masten, Scott, Miller, Scott, Moudgal, Chandrika, Muster, Wolfgang, Paulino, Alexandre, Lo Piparo, Elena, Powley, Mark, Quigley, Donald, Reddy, M, Richarz, Andrea-Nicole, Schilter, Benoit, Snyder, Ronald, Stavitskaya, Lidiya, Stidl, Reinhard, Szabo, David, Teasdale, Andrew, Tice, Raymond, Trejo-Martin, Alejandra, Vuorinen, Anna, Wall, Brian, Watts, Pete, White, Angela, Wichard, Joerg, Witt, Kristine, Woolley, Adam, Woolley, David, Zwickl, Craig, Myatt, Glenn
بيانات النشر: eScholarship, University of California
سنة النشر: 2019
المجموعة: University of California: eScholarship
مصطلحات موضوعية: (Q)SAR, Computational toxicology protocols, Expert alerts, Expert review, Genetic toxicology, In silico, In silico toxicology, Animals, Computer Simulation, Humans, Models, Theoretical, Mutagenicity Tests, Mutagens, Research Design, Risk Assessment, Toxicology
الوصف: In silico toxicology (IST) approaches to rapidly assess chemical hazard, and usage of such methods is increasing in all applications but especially for regulatory submissions, such as for assessing chemicals under REACH as well as the ICH M7 guideline for drug impurities. There are a number of obstacles to performing an IST assessment, including uncertainty in how such an assessment and associated expert review should be performed or what is fit for purpose, as well as a lack of confidence that the results will be accepted by colleagues, collaborators and regulatory authorities. To address this, a project to develop a series of IST protocols for different hazard endpoints has been initiated and this paper describes the genetic toxicity in silico (GIST) protocol. The protocol outlines a hazard assessment framework including key effects/mechanisms and their relationships to endpoints such as gene mutation and clastogenicity. IST models and data are reviewed that support the assessment of these effects/mechanisms along with defined approaches for combining the information and evaluating the confidence in the assessment. This protocol has been developed through a consortium of toxicologists, computational scientists, and regulatory scientists across several industries to support the implementation and acceptance of in silico approaches.
نوع الوثيقة: article in journal/newspaper
وصف الملف: application/pdf
اللغة: unknown
Relation: qt3kk0n05j; https://escholarship.org/uc/item/3kk0n05j; https://escholarship.org/content/qt3kk0n05j/qt3kk0n05j.pdf
DOI: 10.1016/j.yrtph.2019.104403
الاتاحة: https://escholarship.org/uc/item/3kk0n05j
https://escholarship.org/content/qt3kk0n05j/qt3kk0n05j.pdf
https://doi.org/10.1016/j.yrtph.2019.104403
Rights: public
رقم الانضمام: edsbas.93D3422D
قاعدة البيانات: BASE
الوصف
DOI:10.1016/j.yrtph.2019.104403